Comparative Study of Density-based Clustering Algorithms

Authors

  • Bhumika S. Arora, Research Scholar , Dr.Vijay Chavda , Dr Bhadresh R. Pandya

Abstract

Data mining and exploratory data analysis deal with large datasets wherein one of the objective is
to group objects such that objects falling under the same group have more similarities than the objects of two
different groups, these groups are called clusters. Here similarity of objects is measured in terms of distance
between the objects. The process of grouping objects is called clustering. There are numerous applications of
clustering in variety of fields and data involved in each varies a lot. This has led researchers to come out with
various methods and models of clustering. There are different types of clustering methods: Hierarchical,
Partitioning, Density Based, Grid based and Graph Based. This paper presents a study of various methods of
clustering and discusses briefly on various Density based clustering methods.

Published

2020-05-30

Issue

Section

Articles